What problem does it solve? Rough, context-dependent requests fail when pasted into a fresh AI session because the receiving agent lacks conversation history, codebase knowledge, and clear success criteria. This Skill transforms a rough request into a self-contained, platform-neutral prompt that a cold agent can act on without guessing. ## Core Features & Use Cases - Goal Extraction and Context Gathering: Identifies the real intent behind vague requests and injects file paths, line numbers, existing patterns, and current-vs-desired state so the receiver can act immediately. - Prompt Engineering Best Practices: Applies explicit action verbs, positive phrasing, XML structure for mixed content, phased workflows for risky changes, and verifiable stopping conditions. - Platform-Neutral Output: Produces a single fenced markdown prompt with no tool-specific references, plus a short note on what changed from the original input. - Use Case: You type "fix the login bug" and receive a complete prompt with repro steps, file references, scope guards, and a verification step ready to paste into any coding assistant. ## Quick Start Ask the assistant to enhance your rough request, for example: enhance this prompt — "make the dashboard faster".
